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Machine Learning with the Elastic Stack

You're reading from   Machine Learning with the Elastic Stack Expert techniques to integrate machine learning with distributed search and analytics

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788477543
Length 304 pages
Edition 1st Edition
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Authors (2):
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Bahaaldine Azarmi Bahaaldine Azarmi
Author Profile Icon Bahaaldine Azarmi
Bahaaldine Azarmi
Rich Collier Rich Collier
Author Profile Icon Rich Collier
Rich Collier
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Toc

Table of Contents (12) Chapters Close

Preface Machine Learning for IT FREE CHAPTER Installing the Elastic Stack with Machine Learning Event Change Detection IT Operational Analytics and Root Cause Analysis Security Analytics with Elastic Machine Learning Alerting on ML Analysis Using Elastic ML Data in Kibana Dashboards Using Elastic ML with Kibana Canvas Forecasting ML Tips and Tricks Other Books You May Enjoy

Installing the Elastic Stack with Machine Learning

In Chapter 1, Machine Learning for IT, we learned what anomaly detection for IT is by looking at the fundamental steps behind the theory. Most importantly, we learned that, thanks to the Elastic Stack, Elastic machine learning (ML) allows us to operationalize anomaly detection, from analysis to visualization. Now, in this chapter, we'll roll up our sleeves and get to work installing the entire Elastic Stack. By doing so, we'll have a better understanding of the anatomy of Elastic ML. In this chapter, we will be covering the following topics:

  • Installing Elasticsearch
  • Installing Kibana
  • Enabling ML features
  • Elastic ML features
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